Model comparison

DeepSeek-V3.1 vs Seed 2.0 Pro

DeepSeek-V3.1 and Seed 2.0 Pro score almost the same on the Noometry Index (42.2 vs 42.5), so choose on price, context window or the category you care about most.

Last verified . 17 shared benchmarks.

DeepSeek-V3.1 DeepSeek

42.2

Rank #106 Confirmed

Seed 2.0 Pro ByteDance Seed

42.5

Rank #97 Confirmed

Summary

  • They share 17 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 2 categories and Seed 2.0 Pro in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Seed 2.0 Pro leads 43.6 to 36.3.
  • DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $0.50 / $3 for Seed 2.0 Pro.
  • Seed 2.0 Pro accepts more context: 256K tokens versus 164K.
  • DeepSeek-V3.1 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1 and Seed 2.0 Pro specifications
DeepSeek-V3.1Seed 2.0 Pro
ProviderDeepSeekByteDance Seed
Noometry Index42.242.5
Released2025-08-212026-02-14
WeightsOpenProprietary
Context window164K256K
Max output8K128K
Input $ / M tokens$0.25$0.50
Output $ / M tokens$0.95$3
Results tracked2720

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Category by category

Coding Seed 2.0 Pro leads

DeepSeek-V3.1: 39.8 (#140), Seed 2.0 Pro: 42.9 (#84)

Coding benchmarks
BenchmarkDeepSeek-V3.1Seed 2.0 Pro
LMArena Coding14171472
WeirdML38.4%—

Reasoning DeepSeek-V3.1 leads

DeepSeek-V3.1: 27.3 (#109), Seed 2.0 Pro: 23.1 (#167)

Reasoning benchmarks
BenchmarkDeepSeek-V3.1Seed 2.0 Pro
LMArena Hard Prompts14171453
SimpleBench40%—
Kagi LLM Benchmark53.2%—
NYT Connections (extended)—28.4%
Thematic Generalization—57.1%
DTBench82.7%—
LMCA24.3%—
Epoch Capabilities Index139.92—
ForecastBench58—

Math Too close to call

DeepSeek-V3.1: 36.1 (#125), Seed 2.0 Pro: 36.5 (#110)

Math benchmarks
BenchmarkDeepSeek-V3.1Seed 2.0 Pro
LMArena Math14201440

Knowledge DeepSeek-V3.1 leads

DeepSeek-V3.1: 43.0 (#86), Seed 2.0 Pro: 39.6 (#119)

Knowledge benchmarks
BenchmarkDeepSeek-V3.1Seed 2.0 Pro
LMArena Expert14031440
Vectara Hallucination Rate5.5%—

Multimodal Not comparable

DeepSeek-V3.1: —, Seed 2.0 Pro: 40.8 (#34)

Multimodal benchmarks
BenchmarkDeepSeek-V3.1Seed 2.0 Pro
LMArena Vision—1275

Multilingual Seed 2.0 Pro leads

DeepSeek-V3.1: 51.8 (#100), Seed 2.0 Pro: 54.8 (#37)

Multilingual benchmarks
BenchmarkDeepSeek-V3.1Seed 2.0 Pro
LMArena Non-English14001442
LMArena Chinese14701490
LMArena French14471470
LMArena German14121443
LMArena Japanese13741408
LMArena Korean13371412
LMArena Russian14051450
LMArena Spanish14291460

Instruction Following Too close to call

DeepSeek-V3.1: 74.1 (#105), Seed 2.0 Pro: 74.7 (#86)

Instruction Following benchmarks
BenchmarkDeepSeek-V3.1Seed 2.0 Pro
LMArena Instruction Following14001414

Long Context Seed 2.0 Pro leads

DeepSeek-V3.1: 36.3 (#227), Seed 2.0 Pro: 43.6 (#85)

Long Context benchmarks
BenchmarkDeepSeek-V3.1Seed 2.0 Pro
LMArena Longer Query14221428
Fiction.LiveBench52.8%—

Writing & Preference Seed 2.0 Pro leads

DeepSeek-V3.1: 60.5 (#93), Seed 2.0 Pro: 63.0 (#66)

Writing & Preference benchmarks
BenchmarkDeepSeek-V3.1Seed 2.0 Pro
LMArena Text14201448
LMArena Creative Writing14011406
LMArena Multi-Turn14081441
EQ-Bench Creative Writing1436—

Frequently asked questions

Is DeepSeek-V3.1 better than Seed 2.0 Pro?

DeepSeek-V3.1 and Seed 2.0 Pro score almost the same on the Noometry Index (42.2 vs 42.5), so choose on price, context window or the category you care about most.

Which is cheaper, DeepSeek-V3.1 or Seed 2.0 Pro?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Seed 2.0 Pro lists at $0.50 and $3.

Is DeepSeek-V3.1 or Seed 2.0 Pro better for coding?

Seed 2.0 Pro scores higher on coding benchmarks: 42.9 versus 39.8 in the Noometry coding category.

Which has the bigger context window?

Seed 2.0 Pro does, with 256K tokens against 164K.

How many benchmarks do DeepSeek-V3.1 and Seed 2.0 Pro share?

17 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Seed 2.0 Pro has 20.

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